1617 Open source projects that are alternatives of or similar to Fast Autoaugment

A specially designed light version of Fast AutoAugment

Efficient Learning of Augmentation Policy Schedules

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AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

CNN image classifier implemented in Keras Notebook 🖼️.

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Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.

Building Convolutional Neural Networks From Scratch using NumPy

a distributed Hyperband implementation on Steroids

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[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

High-performance Vision library in Python. Scale your research, not boilerplate.

Music recommender using deep learning with Keras and TensorFlow

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

An open source python library for automated feature engineering

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]

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Automated Machine Learning with scikit-learn

CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch

A photo OCR project aims to output DMS messages contained in sign structure images.

A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Implementation of Quickdraw - an online game developed by Google

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collecting related resources of automated machine learning here

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Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)

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A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

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